--- license: other library_name: peft tags: - llama-factory - lora - generated_from_trainer base_model: ../../model/Llama3-8B model-index: - name: sft results: [] --- # sft This model is a fine-tuned version of [../../model/Llama3-8B](https://huggingface.co/../../model/Llama3-8B) on the role_in_novel_50, the RoleLLM and the Haruhi54K datasets. It achieves the following results on the evaluation set: - Loss: 2.0695 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 5e-05 - train_batch_size: 2 - eval_batch_size: 1 - seed: 42 - distributed_type: multi-GPU - num_devices: 2 - gradient_accumulation_steps: 8 - total_train_batch_size: 32 - total_eval_batch_size: 2 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 20 - num_epochs: 10.0 - mixed_precision_training: Native AMP ### Training results ### Framework versions - PEFT 0.10.0 - Transformers 4.39.3 - Pytorch 2.1.2+cu121 - Datasets 2.18.0 - Tokenizers 0.15.2